Brian M. Zid

2.9k total citations · 1 hit paper
21 papers, 2.1k citations indexed

About

Brian M. Zid is a scholar working on Molecular Biology, Aging and Endocrine and Autonomic Systems. According to data from OpenAlex, Brian M. Zid has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Aging and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Brian M. Zid's work include RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). Brian M. Zid is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). Brian M. Zid collaborates with scholars based in United States, Canada and Argentina. Brian M. Zid's co-authors include Pankaj Kapahi, Seymour Benzer, Viveca Sapin, Tony Harper, Erin K. O’Shea, Aric N. Rogers, Subhash D. Katewa, Arvind R. Subramaniam, Ted Brummel and Gil B. Carvalho and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian M. Zid

21 papers receiving 2.1k citations

Hit Papers

Regulation of Lifespan in Drosophila by Modulation of Gen... 2004 2026 2011 2018 2004 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Regulation of Lifespan in Drosophila by Modulation of Genes in the TOR Signaling Pathway
    2004 1.0k citations Pankaj Kapahi, Brian M. Zid et al. Current Biology profile →

Peers

Brian M. Zid
Cathy Slack United Kingdom
Janne M. Toivonen Spain
Maria E. Giannakou United Kingdom
Aric N. Rogers United States
Kristan K. Steffen United States
Takao Inoue United States
Suzanne Wolff United States
Martin A. Jünger Switzerland
Kailiang Jia United States
Ryan Powers United States
Cathy Slack United Kingdom
Brian M. Zid
Citations per year, relative to Brian M. Zid Brian M. Zid (= 1×) peers Cathy Slack

Countries citing papers authored by Brian M. Zid

Since Specialization
Citations

This map shows the geographic impact of Brian M. Zid's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian M. Zid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Zid more than expected).

Fields of papers citing papers by Brian M. Zid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Zid. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian M. Zid. The network helps show where Brian M. Zid may publish in the future.

Co-authorship network of co-authors of Brian M. Zid

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Zid. A scholar is included among the top collaborators of Brian M. Zid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian M. Zid. Brian M. Zid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Ya‐Ting, et al.. (2025). Cytoplasmic ribosomes on mitochondria alter the local membrane environment for protein import. The Journal of Cell Biology. 224(4). 3 indexed citations
2.
Zid, Brian M., et al.. (2024). eIF5A controls mitoprotein import by relieving ribosome stalling at TIM50 translocase mRNA. The Journal of Cell Biology. 223(12). 5 indexed citations
3.
Viana, Matheus P., et al.. (2024). Mitochondrial protein heterogeneity stems from the stochastic nature of co-translational protein targeting in cell senescence. Nature Communications. 15(1). 8274–8274. 5 indexed citations
4.
Koslover, Elena F., et al.. (2023). Translation kinetics and diffusive timescales regulate mitochondrial localization of mRNAs in yeast and mammalian cells. Biophysical Journal. 122(3). 300a–300a. 1 indexed citations
5.
Subramaniam, Arvind R., et al.. (2023). Quantification of elongation stalls and impact on gene expression in yeast. RNA. 29(12). 1928–1938. 2 indexed citations
6.
Tracy, Sharon, et al.. (2022). Rvb1/Rvb2 proteins couple transcription and translation during glucose starvation. eLife. 11. 7 indexed citations
7.
Koslover, Elena F., et al.. (2022). Mitochondrial mRNA localization is governed by translation kinetics and spatial transport. PLoS Computational Biology. 18(8). e1010413–e1010413. 9 indexed citations
8.
Tsuboi, Tatsuhisa, et al.. (2020). Post-transcriptional control of mitochondrial protein composition in changing environmental conditions. Biochemical Society Transactions. 48(6). 2565–2578. 8 indexed citations
9.
Tsuboi, Tatsuhisa, Matheus P. Viana, Jingwen Yu, et al.. (2020). Mitochondrial volume fraction and translation duration impact mitochondrial mRNA localization and protein synthesis. eLife. 9. 47 indexed citations
10.
Jiang, Yanfei, et al.. (2020). A protein kinase A–regulated network encodes short- and long-lived cellular memories. Science Signaling. 13(632). 18 indexed citations
11.
Zid, Brian M., et al.. (2019). Stress‐induced mRNP granules: Form and function of processing bodies and stress granules. Wiley Interdisciplinary Reviews - RNA. 10(3). e1524–e1524. 111 indexed citations
12.
Loureiro, María Eugenia, Sheli R. Radoshitzky, Xiǎolì Chī, et al.. (2018). DDX3 suppresses type I interferons and favors viral replication during Arenavirus infection. PLoS Pathogens. 14(7). e1007125–e1007125. 39 indexed citations
13.
Zid, Brian M. & Pankaj Kapahi. (2018). Exonuclease EXD2 in mitochondrial translation. Nature Cell Biology. 20(2). 120–122. 1 indexed citations
14.
Zid, Brian M. & Erin K. O’Shea. (2014). Promoter sequences direct cytoplasmic localization and translation of mRNAs during starvation in yeast. Nature. 514(7520). 117–121. 159 indexed citations
15.
Subramaniam, Arvind R., Brian M. Zid, & Erin K. O’Shea. (2014). An Integrated Approach Reveals Regulatory Controls on Bacterial Translation Elongation. Cell. 159(5). 1200–1211. 102 indexed citations
16.
Carvalho, Gil B., Brian M. Zid, Ted Brummel, & William W. Ja. (2010). Reply to Piper et al.: Drosophila dietary restriction—Does it hold water?. Proceedings of the National Academy of Sciences. 107(14). 2 indexed citations
17.
Ja, William W., et al.. (2009). Water- and nutrient-dependent effects of dietary restriction on Drosophila lifespan. Proceedings of the National Academy of Sciences. 106(44). 18633–18637. 87 indexed citations
18.
Zid, Brian M., et al.. (2009). 4E-BP Extends Lifespan upon Dietary Restriction by Enhancing Mitochondrial Activity in Drosophila. Cell. 139(1). 149–160. 420 indexed citations
19.
Kapahi, Pankaj, et al.. (2004). Regulation of Lifespan in Drosophila by Modulation of Genes in the TOR Signaling Pathway. Current Biology. 14(10). 885–890. 1024 indexed citations breakdown →
20.
Kapahi, Pankaj & Brian M. Zid. (2004). TOR Pathway: Linking Nutrient Sensing to Life Span. Science of Aging Knowledge Environment. 2004(36). PE34–PE34. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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